Sökresultat för "Data Infrastructure"

WHO WE ARE ABOUT STRIPE Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world's largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. ABOUT THE TEAM The Big Data Infrastructure operates the critical infrastructure that powers the batch data processing at Stripe. The team supports a variety of use cases, including Payment, Ledger, ML, Fraud Detection, Product Analytics, Regulatory Reporting, Financial Data Reconciliation, and externally facing products like Radar and Sigma. As an example of the scale, the team's systems serve hundreds of teams, thousands of workflows, 100,000+ task executions, O(billion) transformations, and moving terabytes of data processing over 1 GB/second every day. Our users inside Stripe include other engineering teams, Data Scientists, Sales and Operations, Finance, etc. Data Orchestration builds and operates the time-based and event-based orchestration infrastructure that powers and accelerates batch data pipelines. The team operates on a wide range of tech stacks including Airflow, Spark, SQL, Kafka, Flink, Hive MetaStore, Trino, Pinot, Python, Java, Scala, S3, and Iceberg. WHAT YOU'LL DO As a Software Engineer on this team, you'll design and build infrastructure that powers batch data processing at Stripe. RESPONSIBILITIES * Design, build, and maintain next-generation and first-generation versions of key Data Platform products, with an emphasis on usability, reliability, security, and efficiency. * Design ergonomic APIs and abstractions that build a great customer experience for internal Stripes, that will in turn enhance the experience of millions of Stripe users. * Ensure operational excellence and enable a highly available and reliable Data Orchestration platform across batch workloads. * Collaborate with high-visibility teams and their stakeholders to support their key initiatives—while building a robust platform that benefits all of Stripe in the long term. * Plan for the growth of Stripe infrastructure by unblocking, supporting, and communicating with internal partners to achieve results. * Connect your work with improvements in the usability and reliability of open source software (OSS) like Apache Airflow, Iceberg, and Spark, and contribute back to the OSS community. WHO YOU ARE We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. MINIMUM REQUIREMENTS * 8+ years of professional experience writing high-quality, production-level code or software programs and an interest in data infrastructure. * Has experience operating or enabling large-scale, high-availability data pipelines from design to execution and safe change management. Expertise in Spark, Flink, Airflow, Python, Java, SQL, and API design is a plus. * Has experience developing, maintaining, and debugging distributed systems built with open source tools. * Has experience building infrastructure-as-a-product with a strong focus on user needs. * Has strong collaboration and communication skills, and can interact with both technical and non-technical participants. * Has the curiosity to learn about new technologies and business processes. * Is energized by delivering effective, user-first solutions through creative problem-solving and collaboration. PREFERRED QUALIFICATIONS * Has experience writing production-level code in Scala, Spark, Flink, Airflow, Python, Java, and SQL. * Has experience designing APIs or building developer platforms. * Has experience optimizing the end-to-end performance of distributed systems. * Has experience scaling distributed systems in a fast-moving environment. * Has experience working with Airflow infrastructure. * Genuine enjoyment of innovation and an interest in understanding how things work. Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. Office location—Bengaluru, KA, India

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. What you'll do Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we're looking forMust have 4+ years of experience as a Data Engineer or similar role Strong SQL skills and a good understanding of modern data warehousing concepts Experience building data pipelines and working with orchestration tools such as Airflow or similar Hands-on experience with dbt and modern data transformation practices Experience with Python for data engineering or automation Experience with Git and modern software engineering practices Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with software engineering practices such as automated testing, CI/CD, and code review workflows Experience with Snowflake or similar cloud data platforms Experience with Infrastructure as Code (Terraform or similar) Experience with AWS, GCP, or Azure Interest in data quality, observability, governance, or platform engineering Why join us? Build the platform that enables data and AI across Schibsted Media Work with modern technologies and experienced engineers across multiple teams Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted's premium media products, including news and podcasts About you You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.

JOIN THE DATA & AI JOURNEY AT SCHIBSTED MEDIA Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. ABOUT THE ROLE We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. WHAT YOU'LL DO * Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions * Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python * Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media * Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices * Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform * Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams * Develop maintainable data models that support analytics, reporting, and AI use cases * Contribute to good practices for data modeling, transformation, testing, documentation, and governance * Participate in code reviews, technical discussions, and continuous improvement of our ways of working * Contribute to a culture of ownership, learning, and collaboration WHAT WE'RE LOOKING FOR MUST HAVE * 4+ years of experience as a Data Engineer or similar role * Strong SQL skills and a good understanding of modern data warehousing concepts * Experience building data pipelines and working with orchestration tools such as Airflow or similar * Hands-on experience with dbt and modern data transformation practices * Experience with Python for data engineering or automation * Experience with Git and modern software engineering practices * Ability to take ownership of tasks and deliver maintainable solutions * Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. * Collaborative mindset and willingness to learn from and contribute to the team NICE TO HAVE * Experience with software engineering practices such as automated testing, CI/CD, and code review workflows * Experience with Snowflake or similar cloud data platforms * Experience with Infrastructure as Code (Terraform or similar) * Experience with AWS, GCP, or Azure * Interest in data quality, observability, governance, or platform engineering WHY JOIN US? * Build the platform that enables data and AI across Schibsted Media * Work with modern technologies and experienced engineers across multiple teams * Flexible working hours and hybrid work options with strong trust and autonomy * International environment with offices in Oslo, Stockholm, and Krakow * Strong learning culture with learning budget and active engineering & AI communities * Access to Schibsted's premium media products, including news and podcasts ABOUT YOU You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations.  We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track.  The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.  We encourage people of all different backgrounds and identities to apply.  We are committed to maintaining an inclusive, and supportive place for you to do your very best work. We are seeking an experienced and hands-on Lead Data Engineer to design, build and evolve secure, scalable data platforms for clients across the UK Public Sector and Utilities sectors. You will work closely with architects, engineers and client stakeholders to deliver modern cloud-based data solutions that support operational, analytical and AI-driven use cases. The role combines technical leadership with hands-on engineering, helping clients modernise their data estates while ensuring solutions are secure, reliable and scalable. Working across multiple projects, you will lead the development of batch and real-time data pipelines, support architectural decision-making, and help establish engineering best practices across delivery teams. Strong experience with real-time streaming technologies is essential. Key Responsibilities * Lead the design, development and deployment of secure, scalable data pipelines and data platform components. * Design and implement batch and real-time streaming solutions using modern event-driven architectures. * Own technical design decisions across projects, balancing scalability, security, performance and delivery requirements. * Lead technical workshops, discovery sessions and architecture discussions with client stakeholders. * Assess existing client data platforms and design practical approaches for modernisation, migration and integration. * Build and maintain data ingestion, transformation and integration capabilities across a variety of data sources. * Develop cloud-native data platforms using AWS services and open-source technologies. * Ensure data quality, governance, lineage and security requirements are embedded throughout the data lifecycle. * Drive engineering best practices including code reviews, automated testing, CI/CD and Infrastructure as Code. * Support multiple client engagements, helping delivery teams maintain consistent engineering quality and standards. * Mentor and support engineers across project teams, providing technical guidance and leadership. * Perform data modelling, performance tuning and root cause analysis to resolve complex data and platform issues. Essential Skills & Experience Real-Time Streaming & Data Engineering * Strong commercial experience designing and implementing real-time streaming data platforms. * Hands-on experience with technologies such as Apache Kafka, AWS Kinesis, Apache Flink, Spark Streaming, Apache Pulsar, or similar event-driven technologies. * Experience building high-volume, low-latency, resilient data pipelines in production environments. * Strong understanding of modern data engineering patterns, including batch, streaming and hybrid architectures. Data Engineering & Databases * Extensive experience developing and operating enterprise-scale data platforms. * Strong SQL skills and experience designing data models for analytical and operational workloads. * Proficiency in Python or other modern programming languages used for data engineering. * Experience configuring, tuning and optimising relational and NoSQL databases. Cloud & Software Engineering * Strong experience working with AWS cloud services, including EC2, RDS, Lambda, Athena, Glue, S3 and IAM. * Experience working within Agile delivery environments. * Strong understanding of Test-Driven Development (TDD) and automated testing practices. * Experience implementing CI/CD pipelines and engineering automation. * Strong understanding of Infrastructure as Code principles. * Experience using version control systems such as Git. Regulated Environments * Experience delivering technology solutions within UK Public Sector, Utilities, Energy, Water, Financial Services or other highly regulated industries. * Understanding of security, governance and compliance considerations within regulated environments. Desirable Skills * Experience with Terraform. * Experience with Docker and Kubernetes. * Knowledge of Ansible and Packer. * Linux and Windows administration experience. * Experience supporting AI, machine learning or advanced analytics platforms. * Experience working on programmes requiring UK Government security clearance. What We're Looking For * Strong technical leadership and problem-solving skills. * Ability to communicate effectively with both technical and non-technical stakeholders. * Experience working in complex, regulated environments. * A collaborative approach and willingness to support and mentor others. * A focus on delivering practical solutions that create value for clients. * A passion for building reliable, scalable and secure data platforms. Education Bachelor’s degree in computer science, Software Engineering, Data Engineering, Mathematics or a related technical discipline, or equivalent practical experience. Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equal Opportunities Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

​ Location: MalmöDepartment: AI Models & Alarm IntelligenceHiring Manager: Christian Falck The roleAs a Data Engineer within our team AI Models & Alarm Intelligence, you will play a key role in building the data infrastructure that powers Verisure’s next-generation of AI-driven products and services. You will join a growing AI team working with Computer Vision, Edge AI, Cloud AI, and connected devices, helping create the data foundations that enable our Machine Learning Engineers to train, deploy, monitor, and continuously improve AI solutions used across multiple countries. The role combines cloud infrastructure, data engineering, system design, and cross-functional collaboration. Success comes from balancing strategic thinking with hands-on implementation, while working closely with both your teammates and stakeholders across the wider organization. You will join a collaborative and highly skilled AI team where knowledge sharing, ownership, and continuous improvement are part of everyday work. What you will be up to Build and maintain data pipelines that support AI model training, evaluation, and deployment Work closely with AI Ops teams, developers, and stakeholders across multiple countries to enable scalable AI infrastructure Develop and improve cloud-based solutions for collecting, processing, and storing data from connected devices Maintain and evolve our data lake, training infrastructure, monitoring capabilities, and feedback loops from products in the field Collaborate with engineers across R&D to reduce complexity, improve reliability, and support future AI initiatives Help shape the long-term data architecture that will support the next generation of AI-powered products Good fit if you haveStrong Python skills and experience building production-grade data pipelines Hands-on experience working with AWS and cloud-native architecture Experience building and maintaining S3-based data platforms and modern data architecture Experience with containerized environments such as Docker Understanding of APIs, cloud services, and distributed systems Experience working closely with software engineers and other technical stakeholders Nice to have / technologies and areas we work with AI, Machine Learning, Computer Vision, or Data Products AWS services such as S3, SageMaker, IAM, and cloud networking Data Lakes and Medallion Architecture (Bronze, Silver, Gold) Snowflake and modern analytics platforms Docker, orchestration, and cloud deployment patterns IoT, Edge AI, and connected devices Should I apply? Strong fit if most of these resonate with you: Building scalable systems and infrastructure is something you genuinely enjoy Solving complex technical problems motivates you You proactively identify opportunities for improvement rather than waiting for instructions Working across teams and dependencies feels energizing rather than frustrating You enjoy balancing hands-on implementation with long-term architectural thinking AI, cloud platforms, and emerging technologies spark your curiosity FAQIs this primarily a Data Engineering role or an AI role?The primary focus is Data Engineering. You will work very closely with AI initiatives and Machine Learning Engineers, but your responsibility is to build and maintain the infrastructure and data foundations that enable AI development at scale. Will I be building new systems or maintaining existing ones?Both. You will help evolve our current infrastructure while also building new capabilities that support future AI products and services. Will I work with stakeholders outside the AI team?Yes. Collaboration is a significant part of the role. You will work with AI Ops, R&D teams, IT teams, and stakeholders across multiple countries and functions. What is the biggest challenge in this role?Balancing hands-on delivery with long-term architecture while navigating dependencies on multiple teams and platforms across the organization. Bottom line If you enjoy building modern cloud-based data platforms, working alongside talented AI engineers, and creating the foundations that enable AI products to scale globally, this is an opportunity to have a significant impact in one of Verisure’s most exciting and rapidly growing technology domains. About VerisureVerisure is the leading provider of professionally monitored security services in Europe and Latin America. As of 31 December 2025, Verisure provides premium monitored alarm services to a portfolio of ~6.2 million families and small businesses across 18 countries, with a team of more than 30,000 colleagues. For the year ended 31 December 2025, Verisure delivered a strong financial performance: Total Revenue of €3,745 million, Adjusted EBITDA of €1,708 million (46% margin) and Adjusted EBIT of €953 million (25% margin). This performance builds on the Company’s track record of resilient, uninterrupted growth over the long term and highlights the strength of its recurring revenue model. Verisure is majority owned by Hellman & Friedman LLC, a leading private equity investment firm. Beginning October 8th, 2025, Verisure is listed in the Nasdaq Stockholm Stock Exchange. With €3.1 billion raised in primary proceeds, this was the largest IPO in Europe since 2022 and the largest in Sweden in over 25 years. My team and I eagerly await your application! Join us on this journey towards a safer, smarter world. Apply today! If you have questions regarding this position, please reach out to our Group Senior TA Specialist, Robert Jonasson, at robert.jonasson@verisure.com Verisure is an equal-opportunity employer and welcomes applicants from diverse backgrounds. We are an international company with offices and colleagues in multiple countries. Verisure - 35 years of delivering peace of mind.

ABOUT THE ROLE As a Product Analytics Engineer, you will be the vital link between raw data and actionable product insights. Your mission is to establish the data infrastructure and tracking setup for all markets, but with a focus for unique expansion into the Brazil market Working within a team of 4 in Stockholm, you will ensure all data is compliant, governed, and of the highest quality before it reaches our analysts. You will play a key role in implementing robust tracking processes, such as Mixpanel, while collaborating closely with Developers and Product Managers to ensure our technical depth matches our business ambitions. This is a role designed for an initiator who can manage many moving parts in an agile environment. YOU WILL BE RESPONSIBLE FOR: Setting up the data infrastructure and tracking for the Brazil market. Implementing and managing tracking tools, specifically Mixpanel. Giving clear instructions to developers on how to track user actions in React and front-end code. Checking that all data is accurate and follows our quality standards. Creating and updating a clear list of all tracked events so everyone understands the data. Ensuring all data collection follows company rules and data laws. Working with marketing and product teams to help them get the data they need. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: ESSENTIAL SKILLS Professional Experience: Minimum of 3+ years of experience in a Product Analytics Engineering role or similar Web Analytics & Tracking: Strong experience in digital data collection and event-based tracking, including hands-on work with Google Tag Manager (GTM & sGTM). Technical Foundations: Solid understanding of JavaScript, browser behavior, cookies, client-side & server-side tracking, with ability to debug and validate implementations. Collaboration & Communication: Experience working closely with developers and product teams, and ability to clearly explain technical concepts to both technical and non-technical stakeholders. Problem Solving: Ability to investigate data issues, validate tracking setups, and ensure data quality across implementations. NICE TO HAVES Experience with Mixpanel or event-based product analytics tools. Experience with mobile tracking concepts (SDKs, app events, React Native environments). Experience working with BigQuery and understanding data pipelines. WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS Hybrid work policy 4 weeks of Workation (T&C apply) 30 annual vacation days Occupational Pension 5,000 SEK wellness contribution annually Parental Leave Top-Up Possibility to enrol in a private health care insurance for both you and your partner 1,500 SEK equipment allowance Benify - benefits portal with many offers and discounts JOIN US! In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**

The Opportunity As the Data Platform Architect within our BST GI Analytics & Data Platform organization, you will be the chief architect behind the future of Hitachi Energy’s Grid Integration (GI) data landscape. ​In this strategic role, you will design, scale, and govern the unified data platform that fuels our advanced analytics, business intelligence, and digital transformation initiatives. You will work hand-in-hand with the Team Manager for Analytics & BI to translate complex business demands into robust, modern data infrastructure. This role requires a balance of high-level technical vision and rigorous discipline, ensuring our platform is scalable, high-performing, and tightly aligned with internal corporate frameworks and global data regulations. ​How You’ll Make an Impact Design the Data Architecture: Define the blueprint for our data platform, establishing scalable, resilient, and reusable data flow architectures that span from backend data warehouse storage to frontend analytical layers. ​Bridge Strategy & Technology: Partner closely with the Team Manager and business stakeholders to understand emerging data needs and design the infrastructure required to support them. ​Enforce Data Governance & Quality: Architect robust frameworks for Master Data management, data validation, and interface integrity, ensuring our data assets are clean, reliable, and accessible. ​Drive Process & Regulatory Compliance: Ensure the data platform’s architecture fully complies with internal PPS (Project Power System) project guidelines, ITIL frameworks, and global data security and privacy regulations. ​Lead Technical Innovation: Keep a pulse on the evolving analytics landscape, introducing modern architectural best practices that optimize platform performance while managing technical debt. ​Your Background Data Architecture Expertise: Proven track record as a Data Architect, Cloud Architect, or Principal Data Engineer, with deep experience designing enterprise-scale data platforms and data warehouse environments, familiarity with Azure cloud services, Microsoft Fabric, and Databricks ​Pipeline & Interface Mastery: Strong expertise in data modeling, reusable data flow pipelines, ETL/ELT integration patterns, and managing complex interfaces across disparate data silos. ​Governance & Master Data Focus: Solid experience implementing Master Data management principles, data quality frameworks, and robust data security protocols in a regulated environment. ​Process & Framework Discipline: Practical understanding of structured project environments like PPS (or equivalent gate-model frameworks) and ITIL service operations. ​Collaborative Communicator: Ability to articulate complex architectural concepts clearly to both technical engineering teams and business leadership, ensuring strategic alignment across the board. What we offer Collective agreement Flexible working time Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various trainings and education supporting employee development​ Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with thousands of discounts and perks More about us Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! Recruiting Manager Jimmy Cavanagh will answer your questions about the position. Union representatives - Sveriges Ingenjörer: Philip Bengtsson, +46 107-38 25 17; Unionen: Michael Fosselius, +46 107-38 46 19; Ledarna: Frank Hollstedt, +46 107-38 70 43. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com

The Opportunity As a Data Engineer within our BST GI Analytics & Data Platform organization, you will be the core builder of the data pipelines that power Hitachi Energy’s Grid Integration (GI) business. ​In this role, you will turn architectural blueprints into reality. You will develop, optimize, and maintain the robust backend data flows and interfaces that move raw data into our data warehouse environments, making it ready for advanced analytics and BI applications. Working within a structured, collaborative team, you will ensure our data infrastructure is highly reliable, scalable, and fully compliant with internal process guidelines and global data regulations. ​How You’ll Make an Impact Build & Optimize Data Pipelines: Develop and maintain reliable, scalable ETL/ELT pipelines and data flows that integrate disparate data sources into a unified data warehouse environment. ​Implement Architectural Blueprints: Collaborate closely with our Data Platform and Analytics Architects to build backend data structures, data marts, and schemas that meet high-performance standards. ​Ensure Data Quality & Integrity: Write clean, optimized code and data validation routines to enforce Master Data alignment, data validity, and seamless interface management. ​Maintain Service Excellence: Proactively monitor pipeline health, troubleshoot data processing issues, and resolve service requests utilizing our internal ITIL-based ticketing systems. ​Follow Process & Regulatory Standards: Ensure all code deployments, data processing routines, and environments strictly follow internal PPS (Project Power System) guidelines and global data privacy and security standards. ​Your Background Data Engineering Experience: Proven track record as a Data Engineer or Backend Data Developer within an enterprise-scale data warehouse or cloud data platform environment. ​Pipeline & Coding Mastery: Proficiency in data integration tools, SQL, and programming languages relevant to modern data orchestration (such as Python / Scala for Spark ). ​Data Modeling & Architecture Familiarity: Solid understanding of data warehouse methodologies, dimensional modeling, and managing complex data interfaces. ​Process & Support Discipline: Experience working within structured project environments using PPS guidelines (or equivalent gate models) and ITIL/ITSM processes for operational support. ​Collaborative Problem Solver: Excellent technical execution skills paired with a collaborative mindset, allowing you to work smoothly across a dual-discipline team of architects, developers, and BI analysts. What we offer Collective agreement Flexible working time Health care and wellness allowance Fantastic career possibilities within Hitachi Energy both within Sweden and globally Mentor to support you throughout onboard phase Various trainings and education supporting employee development​ Diversified company with over 70+ nationalities working in Sweden Supplementary compensation for parental leave Employee Benefit Portal with thousands of discounts and perks More about us Are you ready for a new exciting challenge? Does the above description sound like you? Welcome to apply! Applications will be reviewed on an ongoing basis, so don’t delay – apply today! We are recruiting for multiple (3) positions. Recruiting Manager Jimmy Cavanagh will answer your questions about the position. Union representatives - Sveriges Ingenjörer: Philip Bengtsson, +46 107-38 25 17; Unionen: Michael Fosselius, +46 107-38 46 19; Ledarna: Frank Hollstedt, +46 107-38 70 43. All other questions can be directed to Talent Acquisition Partner Fredrik Söder, fredrik.soder@hitachienergy.com

We’re looking for a Senior Data Engineer to join Apadmi and establish a high-performing data engineering capability for one of our key strategic healthcare accounts. In this senior, hands-on role, you will provide technical leadership across a specialist team of engineers working with cloud-based data infrastructure, business intelligence tooling, and client-facing analytics products. This is the perfect opportunity for someone technically deep who has the patience, credibility, and leadership skills to embed modern engineering discipline into a growing data function. You will sit at the intersection of technology delivery and data engineering, owning the data platform roadmap and governing the quality of all data outputs. Operating as an agile team leader, you will collaborate closely with operational, clinical, and commercial stakeholders to ensure the delivery of trusted, scalable, and beautifully documented data products. You'll be responsible for bringing software engineering rigour to a team expanding its technical maturity, establishing the right ways of working from the outset. As a Senior Data Engineer, you will define and own the data platform architecture while establishing team-wide standards across source control, environment management, peer reviews, and release processes. You will blend high-level strategy with hands-on automation, ensuring data quality checks are built-in from day one. Additionally, you will guide your squad through Agile sprint ceremonies and line-manage engineers to foster a culture of quality. What you'll be working on * Define and own the technical architecture of the cloud data platform, ingestion pipelines, and semantic reporting layer. * Establish and enforce core engineering standards, including Git-based source control, branching strategies, environment management, and peer code reviews. * Design scalable, maintainable data models and pipeline architectures that shift the function from reactive data handling to reusable data products. * Line-manage and mentor a team of three engineers, supporting their professional development in modern engineering discipline through collaborative working. * Drive the adoption of Agile methodologies, including sprint planning, stand-ups, retrospectives, and structured backlog refinement. * Proactively automate recurring workflows, forecasting processes, and ingestion monitoring to reduce manual effort and increase reliability. * Embed strict data quality checks at the point of ingestion and establish data dictionaries to secure strict metric governance before data reaches external audiences. * Translate complex business requirements into deliverable user stories, providing accurate effort estimates and managing technical dependencies. What you’ll bring to the team You are a solution-driven data leader who has spent time working within or alongside structured software development teams. You understand the rigour of technology delivery functions and possess a low tolerance for ambiguous data definitions. You are highly collaborative, capable of managing complex roadmaps, and excel at translating technical trade-offs into clear insights for non-technical stakeholders. * Proven experience in a senior data engineering or tech lead role with direct line management responsibility. * Strong hands-on experience with cloud data platforms, ideally utilizing Azure Data Factory, Azure SQL, or Synapse Analytics. * Demonstrable experience implementing CI/CD pipelines, automated testing, environment management, and Git practices within a data team. * Deep understanding of fact/dimension design, semantic layers, and advanced BI tool development (ideally Power BI and DAX). * Solid coding or scripting experience (ideally Python) used to automate data workflows and solve complex pipeline challenges. * Track record of introducing and sustaining agile delivery practices, backlog management, and iterative delivery metrics. * Exceptional communication skills to engage credibly with senior operational, clinical, and commercial business leaders. * Experience establishing data functions from a low baseline, familiarity with dbt, or experience working within highly regulated data environments like healthcare would be beneficial.

The Data Engineer role exists to ensure that all test‑lab data is trustworthy, accessible, scalable, and usable for engineering, validation, analytics, and decision‑making. The function provides the technical backbone that enables reliable testing, advanced analysis, automation, and long‑term product improvement. The Data Engineer is responsible for designing and operating the data infrastructure that supports all laboratory test activities. This includes connecting test equipment, building pipelines for high‑frequency and large‑volume datasets, ensuring data quality, and enabling engineers, analysts, and scientists to work efficiently with accurate data. As the laboratory and organization expand, the role will evolve into a leadership function that guides the long‑term data strategy and leads a multidisciplinary data team. Key Responsibilities Key responsibilities include (but are not limited to) Design, build, and maintain data pipelines for high‑frequency lab data Integrate test equipment such as battery cyclers (Chroma, Keysight, PEC, PNE), chambers, DAQ systems, and PLCs Develop ETL/ELT processes to transform raw → validated → curated datasets Build scalable data storage solutions (data lakes, time-series DBs, structured metadata stores) Implement data validation, anomaly detection, and quality monitoring Automate data processing for reporting, dashboards, and analysis Ensure data traceability, version control, and audit compliance Work closely with test and validation engineers to understand test profiles, metadata, and measurement methods Support lab technicians with tools that simplify workflows and reduce manual data tasks Integrate with MES, LIMS, PLM, and other enterprise systems Troubleshoot data-related issues in test execution or equipment communication Take increasing ownership of data architecture and long‑term data roadmap Contribute to documentation standards, data governance, and best practices Requirements Qualifications and Experience Engineering in technical data role (Data Engineering, Data Science, Machine Learning) including processing, storage, quality, and management on GCP or AWS +4 years of relevant experience Project management experience Experience in large manufacturing or industrial enterprises with heterogeneous, distributed data sources, demonstrating ability to navigate complexity at scale Specific skills & Knowledge Proven experience scaling and re‑architecting data platforms and infrastructure to handle rapid growth and increasing data volumes Hands-on experience designing and building highly scalable and reliable data architectures using modern cloud and data tooling (e.g., AWS Kinesis, Lambda, Redshift, GCP equivalents; Airflow, dbt; Parquet, Protobuf, Avro) Strong programming skills in Python, SQL, and general-purpose scripting for automation, data processing, and integration Deep understanding of ETL/ELT frameworks (Airflow, dbt, Spark, etc.) and experience building production-grade data pipelines Familiarity with time-series and high‑frequency measurement data, particularly from industrial or test environments Cloud engineering experience in AWS, GCP, or Azure, including serverless architectures, distributed storage, and stream processing Experience with CI/CD, Git-based workflows, Docker, and robust software engineering practices Knowledge of data serialization formats (Parquet, Avro, Protobuf, JSON) and best practices for efficient storage and retrieval Experience integrating systems via APIs; familiarity with hardware communication protocols such as REST, OPC-UA, and Modbus is a strong plus Understanding of machine learning concepts and experience supporting data scientists with structured, high-quality datasets Domain knowledge (Preferred) Solid engineering foundation (electrical, mechanical, chemical, physical), preferably within the energy, electrical testing, or battery domain Understanding of sensor calibration, noise, drift, and data validation

As a Data Engineer at Kreditz, you will have a multifaceted and vital role. You will step into one of Europe’s fastest-growing FinTech scaleups and take full ownership of the company’s Data Warehouse, pipelines, and reporting enablement. We believe this role is perfect for someone who loves building scalable data infrastructure and wants to work close to both product and real business impact. Here, you will become part of a driven organization with endless opportunities for growth! About the role You will be part of the Product team and play a crucial role in Kreditz’s continued growth journey. At Kreditz, data is not just a support function – it is the core of the entire product. The company turns raw bank transactions into real-time insights that power credit and risk decisions across Europe. As a Data Engineer, your mission is to build, evolve, and maintain a scalable, reliable, and high-performing data platform. You will work closely with the business to strengthen the data foundation and enable smart, cost-efficient reporting and analytics for both internal and external stakeholders. What Kreditz Offers You A unique growth journey: The chance to be part of a once-in-a-lifetime journey from startup to global scaleup. Real impact: A role where everyone in the team plays a crucial part in the company’s success, and where you get true ownership of the data infrastructure. A strong company culture: A fun-loving, driven, and passionate work environment that celebrates progress, humility, and teamwork – we win together. Perks & Benefits: 24/7 access to a gym, sauna, and sports facilities at the office, plus a wellness allowance and a competitive base salary. Work tasks You will be responsible for the end-to-end data lifecycle, from maintaining the DWH architecture to ensuring data quality for both analytical and operational needs across the company. Maintain and enhance the Data Warehouse architecture for scalability and cost-efficiency Design and build robust ETL/ELT pipelines within the AWS ecosystem Automate internal reporting and create self-service data environments for stakeholders Manage AWS services including Glue, Redshift, Athena, and Lambda Implement monitoring and validation frameworks to ensure data integrity Collaborate with DevOps and Backend teams to align infrastructure Support AI and ML models by assisting with specialized data pipelines We are looking for BSc / MSc in a quantitative subject, i.e., Physics, Engineering, Mathematics, Computer Science or equivalent. Proven experience working as a Data Engineer or in a similar role focusing on data infrastructure. Strong practical engineering skills with a solid foundation in SQL and programming (e.g., Python). Strong hands-on experience with AWS (specifically services like Redshift/Snowflake, S3, Glue, and Lambda). Solid understanding of data warehousing concepts (e.g., Star Schema, Kimball) and modern data stack tools. Experience with orchestration tools (e.g., Airflow, Dagster) and CI/CD workflows (i.e., GitHub Actions). Ability to translate complex technical data structures into clear insights for non-technical stakeholders. Professional fluency in English, both written and spoken, as this is the company’s working language. It is meritorious if you have Experience with Infrastructure as Code (Terraform). Experience from FinTech, Open Banking, or working with highly regulated data. Familiarity with BI tools (e.g., AWS QuickSight, PowerBI...etc) To succeed in the role, your personal skills are: Orderly Stable Responsible Intellectually curious Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process.

Bannerflow is a fast-growing global SaaS company building a Creative Intelligence Platform that enables enterprise brands to predict, create, and optimize advertising across channels. We’re on a company-wide AI transformation journey, where AI and agentic workflows are becoming a core part of how we build and innovate, with high expectations on adoption across all teams. Our teams are highly autonomous, collaborative, and we are now looking for another passionate engineer to join us! The challenge: Scaling data for the future Our platform serves 500+ million impressions daily, with peaks over 1 billion impressions, and we’re just getting started. We’re currently rebuilding our entire data infrastructure from the ground up to adopt a data lakehouse approach, enabling: Scalability & Flexibility: Handling billions of data points while staying cost-efficient and future-proof. Data-Driven Features (AI & ML): Enabling predictive models and automation based on historical data. Business Intelligence & Analytics: Delivering insights directly to customers in our platform. To make this vision a reality, we’re looking for an experienced Data Platform Engineer to join our Platform team, and take full ownership of designing and building a scalable, high-performance data platform that will power the next generation of our product. Are you + Bannerflow = True? 🦋 We believe this is an opportunity for you who want to take the technical lead and define our data platform and best practices. Your work will directly impact customers and drive innovation in Ad Tech as part of an autonomous tech team. You'll tackle cutting-edge challenges in large-scale data processing, ML pipelines, and advanced analytics. At Bannerflow, we live by our values of passion, collaboration, and challenge. You'll be part of a vibrant culture with activities like padel tournaments, webinars, Friday beers, and Level-up Hackathons. We offer a hybrid workplace and a competitive compensation package, including pension according to ITP1, health allowance, parental leave top-up, and health care insurance. Your mission Design and build scalable data pipelines for analytics and AI-driven features. Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost. Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability. Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights. Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack. So, what are we looking for? 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing. Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS). Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.). Experience with designing scalable architectures and pipelines that support large datasets efficiently. Passion for AI/ML-driven data features and enabling advanced analytics. Problem-solver mindset, you love optimizing performance and building robust systems. Curiosity & ownership – you thrive in an environment where you can experiment and improve. Not sure if you check all the boxes? Apply anyway! We believe that mindset and passion are just as important as technical skills. If you have a software engineering background, love solving complex problems, and are a data nerd at heart, we’d love to hear from you, even if you don’t meet every requirement. We’re looking for the right person, not just the perfect resume. We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds, experiences, and abilities. Join us at Bannerflow and help us build a world-class data platform that powers the future of Ad Tech!

Bannerflow is a fast-growing global SaaS company building a Creative Intelligence Platform that enables enterprise brands to predict, create, and optimize advertising across channels. We’re on a company-wide AI transformation journey, where AI and agentic workflows are becoming a core part of how we build and innovate, with high expectations on adoption across all teams. Our teams are highly autonomous, collaborative, and we are now looking for another passionate engineer to join us! THE CHALLENGE: SCALING DATA FOR THE FUTURE Our platform serves 500+ million impressions daily, with peaks over 1 billion impressions, and we’re just getting started. We’re currently rebuilding our entire data infrastructure from the ground up to adopt a data lakehouse approach, enabling: * Scalability & Flexibility: Handling billions of data points while staying cost-efficient and future-proof. * Data-Driven Features (AI & ML): Enabling predictive models and automation based on historical data. * Business Intelligence & Analytics: Delivering insights directly to customers in our platform. To make this vision a reality, we’re looking for an experienced Data Platform Engineer to join our Platform team, and take full ownership of designing and building a scalable, high-performance data platform that will power the next generation of our product. ARE YOU + BANNERFLOW = TRUE? 🦋 We believe this is an opportunity for you who want to take the technical lead and define our data platform and best practices. Your work will directly impact or product vision, customers, and drive innovation in Ad Tech as part of an autonomous tech team. You'll tackle cutting-edge challenges in large-scale data processing, ML pipelines, and advanced analytics. At Bannerflow, we live by our values of passion, collaboration, and challenge. You'll be part of a vibrant culture with activities like board game nights, Friday beers, and Level-up Hackathons. We offer a hybrid workplace and a competitive compensation package, including pension according to ITP1, health allowance, parental leave top-up, and health care insurance. YOUR MISSION * Design and build scalable data pipelines for analytics and AI-driven features. * Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost. * Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability. * Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights. * Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack. SO, WHAT ARE WE LOOKING FOR? * 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing. * Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS). * Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.). * Experience working with workflow orchestration platforms such as Prefect, Dagster, or Airflow, including designing, implementing, and operating data workflows in production environments. * Experience with PostgreSQL, including data modeling, query optimization, and building reliable data movement patterns between operational and analytical systems. * Experience with designing scalable architectures and pipelines that support large datasets efficiently. * Passion for AI/ML-driven data features and enabling advanced analytics. * Problem-solver mindset, you love optimizing performance and building robust systems. * Curiosity & ownership – you thrive in an environment where you can experiment and improve. NOT SURE IF YOU CHECK ALL THE BOXES? APPLY ANYWAY! We believe that mindset and passion are just as important as technical skills. If you have a software engineering background, love solving complex problems, and are a data nerd at heart, we’d love to hear from you, even if you don’t meet every requirement. We’re looking for the right person, not just the perfect resume. We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds, experiences, and abilities. Join us at Bannerflow and help us build a world-class data platform that powers the future of Ad Tech! A quick summer note 🌞 Please apply as usual, we'd still love to hear from you! Many of us are taking time off right now, so applications will only be reviewed sporadically until we're back to our usual pace in August. Thanks for your patience.

Aker Systems was founded in 2017 by a team of experienced technology professionals who recognised an opportunity to provide highly secure enterprise data platforms to large organisations.  We build and operate ground-breaking, ultra-secure, high performance, cloud-based data infrastructure for the enterprise. Our proprietary technology solutions drive performance and reduce costs while helping our clients to improve the management and sharing of data across their organisations. In 2024, Aker Systems won the Breakthrough Culture Awards highlighting growth companies putting culture first. In 2020 Aker Systems was recognised as a ‘One to Watch’ on the Sunday Times Tech Track.  The Company was also recognised at the Thames Valley Tech Awards 2020; winning the Thames Valley Tech Company of the year, the Emerging Tech Company and High Growth Tech Business categories.  We encourage people of all different backgrounds and identities to apply.  We are committed to maintaining an inclusive, and supportive place for you to do your very best work. PRINCIPAL ENGINEER – DATA PLATFORM Location: Remote (UK-based; Security Clearance Required) A UK Government Security Check (SC) clearance is required for this role. If you don’t currently hold SC clearance, we can support you in applying, provided you have lived and worked in the UK for a minimum of 5 years. As a Principal Data Platform Engineer, you will define and drive the technical vision, architecture, and evolution of data platforms for a government client. You will operate at a systems and organisational level, shaping how data is ingested, processed, governed, and consumed across multiple teams and services. This role goes beyond hands-on engineering — it requires deep technical authority, cross-team influence, and strategic decision-making to ensure platforms are secure, scalable, resilient, and aligned to long-term business outcomes. ---------------------------------------------------------------------------------------------------------------------------------- KEY RESPONSIBILITIES * Define and own the technical strategy for data platform architecture, balancing short-term delivery with long-term scalability and maintainability. * Lead the design of complex, distributed data systems, including batch and real-time processing at scale. * Establish platform-wide standards, patterns, and best practices for data engineering, reliability, and security. * Act as a technical authority and mentor, guiding senior and lead engineers across teams. * Drive architecture decisions across multiple squads, ensuring alignment with enterprise and government standards. * Partner with architects, product leaders, and stakeholders to translate ambiguous requirements into scalable technical solutions. * Ensure high availability, fault tolerance, and low-latency performance across critical data services. * Champion engineering excellence, including TDD, BDD, observability, and continuous delivery practices. * Oversee data modelling standards and governance, ensuring consistency, lineage, and integrity across systems. * Lead cross-team incident analysis and root cause resolution, driving systemic improvements. * Evaluate and introduce new technologies, tools, and frameworks to evolve platform capabilities. * Provide technical leadership in client engagements, influencing decisions and managing senior stakeholder expectations. * Ensure operational excellence, including resilience planning, cost optimisation, and platform sustainability. ---------------------------------------------------------------------------------------------------------------------------------- REQUIRED EXPERIENCE & COMPETENCIES NON-TECHNICAL COMPETENCIES * Operating effectively in high ambiguity and incomplete problem spaces * Influencing senior stakeholders and cross-functional teams * Navigating complex client environments and competing priorities * Leading through technical authority rather than hierarchy * Driving alignment across multiple teams and domains * Continuously evaluating and adopting emerging technologies strategically ---------------------------------------------------------------------------------------------------------------------------------- TECHNICAL COMPETENCIES * Extensive experience designing and building large-scale, distributed data platforms * Deep expertise in Java-based systems and modern backend architectures * Strong experience with streaming and event-driven architectures (e.g., Kafka, Kinesis) * Experience with large-scale data processing frameworks (e.g., Spark, Flink, Kafka Streams) * Expertise in cloud-native architectures, ideally on AWS (including Lambda, S3, managed services) * Strong understanding of data pipeline design, orchestration, and optimisation * Experience with data modelling at scale, including schema design and evolution * Expertise in relational and NoSQL database design and performance tuning * Proven track record of implementing CI/CD, observability, and platform reliability practices * Strong experience with DevOps and Infrastructure as Code (IaC) * Ability to define and enforce engineering standards across teams ---------------------------------------------------------------------------------------------------------------------------------- DESIRABLE SKILLS * Advanced expertise in data modelling strategies and trade-offs across systems * Experience with search and indexing platforms (Elasticsearch, OpenSearch, Solr) * Strong knowledge of CI/CD ecosystems (e.g., Jenkins, GitLab CI, Drone) * Experience with infrastructure automation tools (Terraform, Ansible, Packer) * Exposure to data governance, security, and compliance frameworks in regulated environments ---------------------------------------------------------------------------------------------------------------------------------- QUALIFICATIONS * Degree in Computer Science or a related field (or equivalent experience) * Typically 10+ years of experience in software/data engineering, with significant time spent in architecture or principal-level roles Aker Systems Attributes At Aker we work as a team; we are collaborative, hardworking, open, and delivery obsessed. There is no blame culture here: try things, and take responsibility for the outcomes. You are always part of the wider Aker. We help our colleagues and take pride in successfully achieving difficult tasks. We run towards problems and help to solve them. Communicate always, do so accurately and in a timely fashion. In return, we offer a competitive salary, 25 days holiday plus bank holidays, company paid medical insurance and life assurance, pension scheme, annual training allowance, wellbeing allowance, virtual GP, Employee Assistance plan and more. Equal Opportunities Aker Systems fosters a diverse environment that encourages openness in its communications and is committed to providing equal employment opportunity for all people regardless of race, religion, gender or sexual orientation, age, marital status, national origin, citizenship status, disability, veteran status or other personal characteristics. We embrace differences of opinion and diversity because they help challenge us and find new groundbreaking technical solutions.

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are now on the lookout for a platform-focused Senior Data Engineer to join the team in Stockholm. ABOUT THE TEAM The Data Engineering team is responsible for empowering Storytel with data. We drive the full data lifecycle, from ingestion to delivery, and help ensure that the rest of the business have the data, tools and engineering collaboration needed to help make informed data-driven decisions. As a team, we provide cross-functional competencies in data engineering as well as analytics engineering to the rest of Storytel. Some of the tech stack and tools we work with are dbt (SQL), Looker, BigQuery, Python, Airflow, Terraform, CI/CD, Github, Airbyte as well as other products included within the Google Cloud Platform. Moreover, we like to keep our skills up to date by frequently engaging lab days. ABOUT THE ROLE As a Data Engineer, your main responsibility will be to enable the team and the rest of the organization with a data platform and the tools that power data at Storytel. You will have the opportunity to work in a dynamic environment with plenty of opportunities to experiment with new technologies and solutions. Our team is highly collaborative and works in a cross-functional organizational landscape with the following: Example of responsibilities * Build core infrastructure: Contribute to building a large-scale, highly performant self-service data platform using cutting-edge technologies * Innovate and improve: Drive internal tooling and process development to continuously increase data quality and constantly improve the engineering experience. * Excellence in data management: Continuously improve on building capabilities for effective data utilization across Storytel. * Collaboration: Collaborate with other engineers, data analysts, data scientists, and decision-makers to understand needs and build self-service. ABOUT YOU To be a fit for our team, we believe that you: * Have a few years of hands-on experience in delivering data products and know the value of accurate consistent data infrastructure. * Have experience in delivering infrastructure using Docker, Kubernetes, Terraform, Github (Github actions), and maintaining data orchestration tools such as Airflow, dbt, Airbyte. * Have experience with cloud infrastructure (Azure, AWS, or GCP) and data warehousing (preferably BigQuery). * Have a good understanding of data access, storage, and optimization. * Are able to break down and explain complicated technical solutions independent of stakeholders. * Thrive in an environment focusing on innovation and collaboration and continuously work on personal development. Bonus qualifications: * Experience with streaming data ingestion. * Expertise in developing CI/CD pipelines tailored for data infrastructure. JOIN A WORLD OF STORIES At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set.

Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Engineer, you will design and build scalable data pipelines and data infrastructure that power Smart SMS features, including SMS categorization, fraud detection, spam intelligence, and AI-driven capabilities. You will work closely with Data Scientists, Data Analysts, and Product teams to develop robust data platforms, enable feature engineering for ML models, and deliver reliable datasets that drive product insights and decision-making for over a million daily users. What you'll do: * Maintain and improve the ingestion pipeline to reliably deliver billions of events daily within defined SLAs * Provide support for all teams in building and optimizing their complex pipelines * Work closely with other teams to identify pain points and problems around the platform * Develop new tools and frameworks to improve the data platform * Facilitate a company-wide, data-driven culture * Work in close collaboration with data scientists and data analysts to help support their work going into production * Work on large-scale projects such as building an ML platform and streaming use cases * Set up best practices and processes around software and data development What you bring in: * Experience working with an orchestration tool (e.g., Airflow) * Experience working with large data sets * Experience building complex ETL pipelines * Experience working with cloud providers such as GCP * Strong programming skills in Spark with Scala and Python * Experience working with CI/CD tools like Jenkins and Git * Strong understanding of software engineering practices and principles * Excellent problem-solving and communication skills * Self-motivated with a proven ability to take initiative to own and solve problems as they come up It would be great if you also have: * Experience working with messaging systems like Kafka * Knowledge of Kubernetes * Hands-on experience with any streaming platform * Experience managing a data warehouse in BigQuery or Redshift What we offer:  We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from:                                                                                                                                                         * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify,  we value what makes you unique and would love to get to know you.  Check out Life at Truecaller - Behind the code:  https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English.